AI Paid Media API Developer - Paid Media Audit Company - London - 85k

This Media Audit Saas Consultancy is looking to hire a brilliant Paid Media API Developer as part of their drive to push AI engineers across their products. Knowledge of Google Ads/ Meta is important as this is the core area of their products and tool which help clients reduce ad waste and identify issues quickly across campaigns. They also work with enterprise clients across a range of verticals.

As the AI Paid Media API Developer will design, build, and maintain API-driven solutions that support paid media auditing and optimisation across multiple digital platforms. Responsibilities include integrating advertising APIs (such as Google Ads, Meta, and other major networks), automating data collection, building scalable ETL pipelines, and supporting dashboards and reporting tools that surface actionable insights. The role involves collaborating with paid media specialists, data analysts, and product teams to translate business requirements into robust technical solutions, while ensuring data quality, security, and performance. The developer will also contribute to the implementation of AI- and machine-learning–enabled features that enhance campaign analysis, anomaly detection, and forecasting. This can be a flexi project or perm role so you can work remotely as long as you are in a GMT friendly time zone

Qualifications

• Experience with digital media ecosystems and Multimedia, Digital Media, and Web Design concepts relevant to paid media analysis and reporting.
• Ability to apply Instructional Design and Graphics skills to create clear, visual documentation, technical guides, and user-facing materials for API tools and dashboards.
• Strong proficiency in backend development for APIs (e.g., Node.js, Python, or similar), RESTful or GraphQL services, and integration with major advertising and analytics platforms.
• Hands-on experience with paid media data structures (PPC, programmatic, social), campaign tracking, and performance metrics, ideally in an audit or optimisation context.
• Solid understanding of databases, data modelling, and ETL processes (SQL/NoSQL, data warehouses, or cloud data platforms such as BigQuery, Snowflake, or Redshift).
• Exposure to AI/ML workflows for marketing (e.g., using Python libraries, cloud ML services, or custom models) and an interest in applying them to campaign optimisation.
• Comfort working in a hybrid environment, collaborating with cross-functional teams, and communicating technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience